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Add Guide to NumPY (#11579) 

* Add Guide to NumPY

* Move From Python To NumPY to separate section and add annotations

* Add books from numpy official repo

* Fix order

* Fix formatting between end of list and last section

This error was caused because blank line was followed by a space

* Remove Numpy absolute user guide

As it's part of user guide hence no separate entry is needed
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Harshit Sethi 2024-10-18 06:17:22 +05:30 committed by GitHub
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@ -174,6 +174,7 @@ Books on general-purpose programming that don't focus on a specific language are
* [Django](#django)
* [Flask](#flask)
* [Kivy](#kivy)
* [Numpy](#numpy)
* [Pandas](#pandas)
* [PyOpenCl](#pyopencl)
* [Pyramid](#pyramid)
@ -1980,7 +1981,6 @@ Books on general-purpose programming that don't focus on a specific language are
* [Dive into Python 3](https://diveintopython3.problemsolving.io) - Mark Pilgrim (3.0)
* [Dive into Python](https://linux.die.net/diveintopython/html/toc/index.html) - Mark Pilgrim (2.3)
* [Essential Python](https://www.programming-books.io/essential/python/) - Krzysztof Kowalczyk, StackOverflow Contributors
* [From Python to NumPy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/) - Nicolas P. Rougier (3.6)
* [Full Stack Python](https://www.fullstackpython.com) - Matt Makai
* [Functional Programming in Python](https://www.oreilly.com/ideas/functional-programming-in-python) - David Mertz
* [Fundamentals of Python Programming](https://web.archive.org/web/20191005170430/http://python.cs.southern.edu/pythonbook/pythonbook.pdf) - Richard L. Halterman (PDF) *(:construction: in process)*
@ -2128,6 +2128,13 @@ Books on general-purpose programming that don't focus on a specific language are
* [Kivy Programming Guide](https://kivy.org/docs/guide-index.html)
#### NumPY
* [From Python to NumPy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/) - Nicolas P. Rougier (HTML) (3.6)
* [Guide to NumPY 2010](https://web.mit.edu/dvp/Public/numpybook.pdf) - Travis E. Oliphant (PDF).
* [NumPy user guide](https://numpy.org/doc/stable/user) - NumPY developers (HTML).
#### Pandas
* [Best Pandas Tutorial \| Learn with 50 Examples](https://www.listendata.com/2017/12/python-pandas-tutorial.html) - Ekta Aggarwal (HTML)